PATCH
/
api
/
prompts
/
<prompt_id>
/
versions
/
<prompt_version_id>
/
import requests

url = "https://api.keywordsai.co/api/prompts/<prompt_id>/versions/"
api_key = "YOUR_KEYWORDS_AI_API_KEY" # Replace with your actual Keywords AI API key
data = {
"description": "A description of the prompt version",
  "messages": [
    {"role": "system", "content": "You are a helpful {{role}}."},
    {"role": "user", "content": "Hello, how are you?"}
  ],
  "model": "gpt-3.5-turbo",
  "stream": false,
  "temperature": 0.7,
  "max_tokens": 256,
  "top_p": 1.0,
  "frequency_penalty": 0.0,
  "presence_penalty": 0.0,
  "variables": {},
  "fallback_models": ["gpt-3.5-turbo-16k", "gpt-4"],
  "load_balance_models": [
    {"model": "gpt-3.5-turbo", "weight": 0.7},
    {"model": "gpt-4", "weight": 0.3}
  ],
}
headers = {
    "Authorization": f"Bearer {api_key}",
    "Content-Type": "application/json"
}

response = requests.post(url, headers=headers, json=data)
print(response.json())
You can update a prompt version by sending a PATCH request to the prompt version endpoint. The request should include the name of the prompt version, and the list of fallback models, load balance models, tools, and whether to deploy this version as the live version.
​
messages
array
required
The list of messages for the prompt version. If you want to add a variable, you can use the following format: {{variable_name}}.
​
model
string
required
Speciy the model you want to use in this version.
​
description
string
Description of the prompt version
​
stream
boolean
Whether the prompt version should be streamed or not. Default is false.
​
temperature
float
The temperature of the model.
​
max_tokens
integer
The maximum number of tokens to generate.
​
top_p
float
The nucleus sampling probability.
​
frequency_penalty
float
Specify how much to penalize new tokens based on their existing frequency in the text so far. Decreases the model’s likelihood of repeating the same line verbatim
​
presence_penalty
float
Specify how much to penalize new tokens based on whether they appear in the text so far. Increases the model’s likelihood of talking about new topics
​
variables
object
The list of variables for the prompt version. You can use these variables in the messages.
​
fallback_models
array
The list of fallback models for the prompt version. Check out fallback models for more information.
​
load_balance_models
array
The list of models to load balance the prompt version. Check out load balancing for more information.
​
tools
array
The list of tools to use for the prompt version. Check out tools for more information.
​
deploy
boolean
Whether to deploy this version as the live version Default is false.
import requests

url = "https://api.keywordsai.co/api/prompts/<prompt_id>/versions/"
api_key = "YOUR_KEYWORDS_AI_API_KEY" # Replace with your actual Keywords AI API key
data = {
"description": "A description of the prompt version",
  "messages": [
    {"role": "system", "content": "You are a helpful {{role}}."},
    {"role": "user", "content": "Hello, how are you?"}
  ],
  "model": "gpt-3.5-turbo",
  "stream": false,
  "temperature": 0.7,
  "max_tokens": 256,
  "top_p": 1.0,
  "frequency_penalty": 0.0,
  "presence_penalty": 0.0,
  "variables": {},
  "fallback_models": ["gpt-3.5-turbo-16k", "gpt-4"],
  "load_balance_models": [
    {"model": "gpt-3.5-turbo", "weight": 0.7},
    {"model": "gpt-4", "weight": 0.3}
  ],
}
headers = {
    "Authorization": f"Bearer {api_key}",
    "Content-Type": "application/json"
}

response = requests.post(url, headers=headers, json=data)
print(response.json())